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210abb5
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1 Parent(s): 0f6d5d0

Add agt_Latn shard 0: 3592 sentences, 160 paragraphs, 4157 words, 190702 ngrams

Browse files
README.md CHANGED
@@ -531,22 +531,6 @@ configs:
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  data_files:
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  - split: train
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  path: data/ngrams/cpc_Latn/*.parquet
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- - config_name: sentences-qvc_Latn
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- data_files:
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- - split: train
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- path: data/sentences/qvc_Latn/*.parquet
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- - config_name: paragraphs-qvc_Latn
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- data_files:
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- - split: train
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- path: data/paragraphs/qvc_Latn/*.parquet
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- - config_name: words-qvc_Latn
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- data_files:
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- - split: train
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- path: data/words/qvc_Latn/*.parquet
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- - config_name: ngrams-qvc_Latn
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- data_files:
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- - split: train
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- path: data/ngrams/qvc_Latn/*.parquet
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  - config_name: sentences-xsr_Deva
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  data_files:
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  - split: train
@@ -563,6 +547,22 @@ configs:
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  data_files:
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  - split: train
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  path: data/ngrams/xsr_Deva/*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: sentences-waj_Latn
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  data_files:
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  - split: train
@@ -1000,8 +1000,8 @@ configs:
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  # FineWeb-2 NLP
1001
 
1002
  > Every sentence, paragraph, word, and n-gram from [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2),
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- > split with language-aware segmentation — **1,130,777 sentences** across **245 languages**,
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- > from **19,704 source documents** — updated continuously.
1005
 
1006
  ## Table of Contents
1007
 
@@ -1031,10 +1031,10 @@ useful units, ready for researchers and practitioners:
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1032
  | Type | Rows | What you get |
1033
  |------|------|-------------|
1034
- | **sentences** | 1,130,777 | One row per sentence, with source document ID, URL, and position index |
1035
- | **paragraphs** | 20,169 | One row per paragraph, with sentence count per paragraph |
1036
- | **words** | 1,648,619 | Per-shard word frequency and document frequency tables |
1037
- | **ngrams** | 46,401,003 | Per-shard bigram through 5-gram frequency tables |
1038
 
1039
  Every row traces back to its source document via `doc_id` and `doc_url`, so you can always
1040
  navigate from a sentence or word back to the original web page.
@@ -1177,23 +1177,23 @@ GROUP BY lang ORDER BY sentences DESC LIMIT 30;
1177
  swg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 301
1178
  liv_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 227
1179
  got_Goth ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 162
1180
- eko_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 161
1181
  sab_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 161
 
1182
  zyp_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 161
1183
- guo_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1184
- bim_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
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  xmv_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
 
1186
  iws_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1187
  bsq_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
 
1188
  nhg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 157
1189
  cao_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
1190
- mak_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
1191
  caa_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
1192
  llg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
 
1193
  mbl_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 152
1194
- zab_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 151
1195
  mcd_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 151
1196
- dng_Cyrl ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 149
1197
  ```
1198
 
1199
  <details>
@@ -1348,16 +1348,16 @@ print(words_df)
1348
 
1349
  | Metric | Value |
1350
  |--------|-------|
1351
- | **Total sentences** | **1,130,777** |
1352
- | **Total paragraphs** | **20,169** |
1353
- | **Total word entries** (per-shard) | **1,648,619** |
1354
- | **Total n-gram entries** (per-shard) | **46,401,003** |
1355
- | **Languages processed** | **245** |
1356
- | **Source documents** | **19,704** |
1357
- | **Total parquet size** | **537.0 MB** |
1358
- | Avg sentences per document | 57.4 |
1359
  | Avg paragraphs per document | 1.0 |
1360
- | Avg sentences per paragraph | 56.1 |
1361
 
1362
  ### Per-language breakdown
1363
 
@@ -1394,8 +1394,8 @@ print(words_df)
1394
  | 29 | `bim_Latn` | 8,508 | 158 | 7,224 | 455,956 | 158 | 1 | 4.3 MB |
1395
  | 30 | `mav_Latn` | 8,495 | 91 | 5,784 | 344,782 | 91 | 1 | 3.6 MB |
1396
  | 31 | `cpc_Latn` | 8,404 | 126 | 15,100 | 207,140 | 126 | 1 | 3.1 MB |
1397
- | 32 | `qvc_Latn` | 8,402 | 116 | 14,058 | 249,877 | 116 | 1 | 3.3 MB |
1398
- | 33 | `xsr_Deva` | 8,402 | 141 | 1,723 | 281,923 | 141 | 1 | 2.8 MB |
1399
  | 34 | `waj_Latn` | 8,257 | 113 | 7,789 | 309,979 | 113 | 1 | 3.6 MB |
1400
  | 35 | `eko_Latn` | 7,963 | 161 | 12,444 | 336,501 | 161 | 1 | 4.0 MB |
1401
  | 36 | `kwf_Latn` | 7,960 | 143 | 4,567 | 375,401 | 123 | 1 | 3.7 MB |
 
531
  data_files:
532
  - split: train
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  path: data/ngrams/cpc_Latn/*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
534
  - config_name: sentences-xsr_Deva
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  data_files:
536
  - split: train
 
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  data_files:
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  - split: train
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  path: data/ngrams/xsr_Deva/*.parquet
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+ - config_name: sentences-qvc_Latn
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+ data_files:
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+ - split: train
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+ path: data/sentences/qvc_Latn/*.parquet
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+ - config_name: paragraphs-qvc_Latn
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+ data_files:
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+ - split: train
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+ path: data/paragraphs/qvc_Latn/*.parquet
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+ - config_name: words-qvc_Latn
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+ data_files:
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+ - split: train
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+ path: data/words/qvc_Latn/*.parquet
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+ - config_name: ngrams-qvc_Latn
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+ data_files:
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+ - split: train
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+ path: data/ngrams/qvc_Latn/*.parquet
566
  - config_name: sentences-waj_Latn
567
  data_files:
568
  - split: train
 
1000
  # FineWeb-2 NLP
1001
 
1002
  > Every sentence, paragraph, word, and n-gram from [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2),
1003
+ > split with language-aware segmentation — **1,134,369 sentences** across **246 languages**,
1004
+ > from **19,864 source documents** — updated continuously.
1005
 
1006
  ## Table of Contents
1007
 
 
1031
 
1032
  | Type | Rows | What you get |
1033
  |------|------|-------------|
1034
+ | **sentences** | 1,134,369 | One row per sentence, with source document ID, URL, and position index |
1035
+ | **paragraphs** | 20,329 | One row per paragraph, with sentence count per paragraph |
1036
+ | **words** | 1,652,776 | Per-shard word frequency and document frequency tables |
1037
+ | **ngrams** | 46,591,705 | Per-shard bigram through 5-gram frequency tables |
1038
 
1039
  Every row traces back to its source document via `doc_id` and `doc_url`, so you can always
1040
  navigate from a sentence or word back to the original web page.
 
1177
  swg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 301
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  liv_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 227
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  got_Goth ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 162
 
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  sab_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 161
1181
+ eko_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 161
1182
  zyp_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 161
1183
+ agt_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 160
 
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  xmv_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1185
+ guo_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1186
  iws_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1187
  bsq_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1188
+ bim_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 158
1189
  nhg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 157
1190
  cao_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
 
1191
  caa_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
1192
  llg_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
1193
+ mak_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 153
1194
  mbl_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 152
 
1195
  mcd_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 151
1196
+ zab_Latn ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 151
1197
  ```
1198
 
1199
  <details>
 
1348
 
1349
  | Metric | Value |
1350
  |--------|-------|
1351
+ | **Total sentences** | **1,134,369** |
1352
+ | **Total paragraphs** | **20,329** |
1353
+ | **Total word entries** (per-shard) | **1,652,776** |
1354
+ | **Total n-gram entries** (per-shard) | **46,591,705** |
1355
+ | **Languages processed** | **246** |
1356
+ | **Source documents** | **19,864** |
1357
+ | **Total parquet size** | **538.8 MB** |
1358
+ | Avg sentences per document | 57.1 |
1359
  | Avg paragraphs per document | 1.0 |
1360
+ | Avg sentences per paragraph | 55.8 |
1361
 
1362
  ### Per-language breakdown
1363
 
 
1394
  | 29 | `bim_Latn` | 8,508 | 158 | 7,224 | 455,956 | 158 | 1 | 4.3 MB |
1395
  | 30 | `mav_Latn` | 8,495 | 91 | 5,784 | 344,782 | 91 | 1 | 3.6 MB |
1396
  | 31 | `cpc_Latn` | 8,404 | 126 | 15,100 | 207,140 | 126 | 1 | 3.1 MB |
1397
+ | 32 | `xsr_Deva` | 8,402 | 141 | 1,723 | 281,923 | 141 | 1 | 2.8 MB |
1398
+ | 33 | `qvc_Latn` | 8,402 | 116 | 14,058 | 249,877 | 116 | 1 | 3.3 MB |
1399
  | 34 | `waj_Latn` | 8,257 | 113 | 7,789 | 309,979 | 113 | 1 | 3.6 MB |
1400
  | 35 | `eko_Latn` | 7,963 | 161 | 12,444 | 336,501 | 161 | 1 | 4.0 MB |
1401
  | 36 | `kwf_Latn` | 7,960 | 143 | 4,567 | 375,401 | 123 | 1 | 3.7 MB |
data/ngrams/agt_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:bf7b9bed2bdbd503a164c25b7aebe9cbd7b400d53249f735d35d3024ca5318b9
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+ size 1539974
data/paragraphs/agt_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:84bc3582922d710aae2b5cd7a0e9314e0308cca340f37511c71879cb18f8790f
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+ size 181850
data/sentences/agt_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:ae889a8f06e5d47c661fd6892c216233b7f312fe834975a65272751b4cefbd7d
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+ size 128196
data/words/agt_Latn/0000.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:757e0a759db199b7209db42c7efe21dc90c5e170edad2481034e4548dcd8cae6
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+ size 20989
stats.csv CHANGED
@@ -244,3 +244,4 @@ zyp_Latn,zyp,0,159,7183,161,9889,458078,4834159,2026-04-14T20:56:06Z
244
  liv_Latn,liv,0,159,5892,227,16639,229479,3251278,2026-04-14T20:56:25Z
245
  sab_Latn,sab,0,161,8663,161,3372,482580,4855264,2026-04-14T20:56:47Z
246
  eko_Latn,eko,0,161,7963,161,12444,336501,4232517,2026-04-14T20:57:05Z
 
 
244
  liv_Latn,liv,0,159,5892,227,16639,229479,3251278,2026-04-14T20:56:25Z
245
  sab_Latn,sab,0,161,8663,161,3372,482580,4855264,2026-04-14T20:56:47Z
246
  eko_Latn,eko,0,161,7963,161,12444,336501,4232517,2026-04-14T20:57:05Z
247
+ agt_Latn,agt,0,160,3592,160,4157,190702,1871009,2026-04-14T20:57:26Z